SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 23612370 of 7282 papers

TitleStatusHype
DiffSF: Diffusion Models for Scene Flow EstimationCode1
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRICode0
InstructGIE: Towards Generalizable Image Editing0
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt DenoisingCode0
Fundamental limits of Non-Linear Low-Rank Matrix Estimation0
Controllable Generation with Text-to-Image Diffusion Models: A SurveyCode5
SSDRec: Self-Augmented Sequence Denoising for Sequential RecommendationCode1
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images0
Fast, nonlocal and neural: a lightweight high quality solution to image denoising0
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and MergingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified